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Minimum Information (minimum + information)

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Chemistry100%

Selected Abstracts

Semi-automatic tool to describe, store and compare proteomics experiments based on MIAPE compliant reports

PROTEINS: STRUCTURE, FUNCTION AND BIOINFORMATICS, Issue 6 2010
Salvador Martínez-Bartolomé
Abstract The Human Proteome Organization's Proteomics Standards Initiative aims to develop new standards for data representation and exchange. The Proteomics Standards Initiative has defined the Minimum Information About a Proteomics Experiment (MIAPE) guidelines that specify the information that should be reported with a published experiment. With the aim of promoting the implementation of standard reporting guidelines, we have developed a web tool that helps to generate and store MIAPE compliant reports describing gel electrophoresis and MS-based experiments. The tool can be used in the reviewing phase of the proteomics publication process and can facilitate data interpretation through the comparison of related studies. [source]

Minimum Reporting Requirements for Proteomics: A MIAPE Primer

PROTEINS: STRUCTURE, FUNCTION AND BIOINFORMATICS, Issue S2 2006
Chris F. Taylor Dr.Article first published online: 9 OCT 200
Amongst other functions, the Human Proteome Organization's Proteomics Standards Initiative (HUPO PSI) facilitates the generation by the proteomics community of guidelines that specify the appropriate level of detail to provide when describing the various components of a proteomics experiment. These guidelines are codified as the MIAPE (Minimum Information About a Proteomics Experiment) specification, the first modules of which are now finalized. This primer describes the structure and scope of MIAPE, places it in context amongst reporting specifications for other domains, briefly discusses related informatics resources and closes by considering the ramifications for the proteomics community. [source]

On the continuum approximation of large reaction mixtures

AICHE JOURNAL, Issue 7 2010
Teh C. Ho
Abstract In analyzing a reaction mixture of very many components, treating the mixture as a continuum can produce results of generality. In many practical situations (e.g., hydrodesulfurization), it is highly desirable to predict the overall behavior of the mixture at large times (high conversions) with minimum information on the mixture property. For irreversible first-order reactions in a plug-flow reactor, it was previously shown that the continuum approximation cannot be valid at arbitrarily large times. This work is an investigation of the validity of the approximation for mixtures with complex kinetics. It is found that the approximation can be conditionally or universally valid, depending on kinetics, reactor type, pore diffusion, and mixture properties. The validity conditions for a variety of situations, nontrivial as they may seem, take a power-law form. Backmixing and pore diffusion widen the range of validity. The underlying physics and some dichotomies/subtleties are discussed. The results are applied to catalytic hydroprocessing in petroleum refining. © 2009 American Institute of Chemical Engineers AIChE J, 2010 [source]

Five years of progress in the Standardization of Proteomics Data 4th Annual Spring Workshop of the HUPO-Proteomics Standards Initiative April 23,25, 2007 Ecole Nationale Supérieure (ENS), Lyon, France

PROTEINS: STRUCTURE, FUNCTION AND BIOINFORMATICS, Issue 19 2007
Sandra Orchard
Abstract Over the last five years, the Human Proteome Organisation Proteomics Standards Initiative (HUPO PSI) has produced and released community-accepted XML interchange formats in the fields of mass spectrometry, molecular interactions and gel electrophoresis, have led the field in the discussion of the minimum information with which such data should be annotated and are now in the process of publishing much of this information. At this 4th Spring workshop, the emphasis was on consolidating this effort, refining and improving the existing models and in pushing these forward to align with more broadly encompassing efforts such as FuGE (Jones, A.R., Pizarro, A., Spellman, P., Miller, M., FuGE Working Group FuGE: Functional Genomics Experiment Object Model. OMICS 2006, 10, 179-184) and the Ontology for Biomedical Investigation (OBI). The effort to merge the existing mass spectrometry XML interchange formats, mzData and mzXML, into one single standard mzML yielded significant progress. Also the preliminary design of AnalysisXML was extended to include several new use cases and better support for quantification information. Finally the Molecular Interaction group discussed the development of a molecular interaction scoring system with accompanying gold standard data test sets. [source]